Paper Info
Title
SpinMag: A New Fingerprinting Method for Robot Indoor Localization with Geomagnetic Field.
Abstract
Indoor localization, especially indoor localization for mobile robots, has become a crucial technology in the last two decades because of the proliferation of robots in industry and people's daily life. We develop a novel approach to robot indoor localization, using fingerprint features extracted from the geomagnetic field by spinning the compass sensor in a smart phone. We evaluate the system with respect to the error distance and the accuracy rate, with the former capturing the distance between the real position of a robot and the reported position by the system, and the latter capturing the probability that the system successfully locates the robot within a given error distance. Comprehensive experimental test shows that our method can achieve the average error distance of 1.2 meters and 68% accuracy rate with the tolerable error distance set to 1.2 meters. This result outperforms a state-of-the-art solution introduced by Subbu et al in 2013.
Year
Venue
Keywords
2018
AD HOC & SENSOR WIRELESS NETWORKS
Indoor localization,robot navigation
Field
DocType
Volume
Computer science,Real-time computing,Robot,Earth's magnetic field,Distributed computing
Journal
42
Issue
ISSN
Citations 
3-4
1551-9899
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Ruochun Jin120.73
Kui Wu231818.44
Yong Dou363289.67
Mantis H. M. Cheng400.34